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On the surface of the more positive alloy, these excess electrons are consumed by a cathodic reaction that, in seawater, is usually oxygen reduction.
Fig.1a, b and c respectively shows the self-corrosion potential data plots of 921A, B10 and TA2 at 0, 15, 35 and 65°C.
According to this result, anodic dissolution of iron takes place on the surface of 921A as anode, oxygen reduction reaction occurs on the surface of the B10 and TA2.

Weight reduction has been realized as a key priority and lightweight materials such as aluminum and magnesium are suggested to replace the traditional mild steel.
Furthermore, the quality of the formation could be improved [2]. 5xxx and 6xxx series aluminum sheet alloys are widely studied and already used in AIV(aluminum intensive vehicles) body-in-white manufacturing and show their excellent corrosion resistance, weldability, and weight reduction compared to steel [3,4,5].
The SEM observations on the fractured surfaces account for the change of tensile test and show good agreement with the data given in Fig.4 (b). 250℃ 250℃ 150℃ 50℃ Fig.5 SEM images of uniaxial tensile test fractures Constitutive equation.

Cleaning of data was performed according to a confidence index higher than 0.1.
This result allows to suppose that a straininduced mechanism of martensite formation is actually operating and that the reduction of the packet size in the central region is the consequence of the activation of a higher number of martensite nuclei per unit volume compared with the subsurface zones.
The effect of tempering temperature on hardness reduction is reported in Fig. 6 showing a loss of 100 HV10 with tempering temperature varying from 620°C to 680 °C.

SUSAN-SIFT algorithm （a）Rotation change experiments （b）Noise change experiments SIFT algorithm SUSAN-SIFT algorithm SIFT algorithm SUSAN-SIFT algorithm （c）Illumination change experiments （d）Affine change experiments Fig 1 Images matching contrast of SIFT algorithm and SUSAN-SIFT algorithm Table 1 Image matching results of SIFT algorithm and  SUSAN-SIFT algorithm Experimental Images Algorithm Name Feature points number Matching points Matching time[ms] Correct matching rate[%] Time reduced rates[%] Fig.1（a） SIFT algorithm 259 238 1862 91.89 NULL SUSAN-SIFT algorithm 75 66 682 88.00 63.37 Fig.1（b） SIFT algorithm 89 78 1328 87.64 NULL SUSAN-SIFT algorithm 46 40 609 86.96 54.14 Fig.1（c） SIFT algorithm 204 196 1752 96.08 NULL SUSAN-SIFT algorithm 35 33 586 94.29 66.55 Fig.1（d） SIFT algorithm 140 128 1643 91.43 NULL SUSAN-SIFT algorithm 38 34 596 89.47 63.72 It can be seen by the above four groups of experimental data
:  The matching time of SUSAN-SIFT algorithm is far less than the matching time of the SIFT algorithm in each group of the experiments, the reduction of the matching time is mainly caused by two reasons:  1) SUSAN-SIFT algorithm uses a faster algorithm than the SIFT algorithm for the part of the feature point detection, so that the speed of the feature point detection has been greatly improved.  2) SUSAN-SIFT algorithm is relatively simple algorithm to SIFT algorithm, the detected feature points  are generally  some of  the more obvious characteristics of the point, making the number of feature points are generally less than the number of feature points detected by the SIFT algorithm, it is because of the reduction of the number of feature points, the algorithm saves a lot of time in the parts of generating the descriptors of the feature points and matching feature points.

With faster speed and higher identification rate The basic idea of the object outline dimension reduction matching algorithms is: For a target with an obvious outline.
Fig. 2 The Diagram of the object outline dimension reduction matching algorithms System and Structure Camera access through the transmission chain bed threaded steel end video image, by visual inspection and Analysis on bar identification, tracking, count, when the nominal count full, control starting and stopping circuit so that the conveyor chain bed stops, and display, steel wire, steel workers for manual guide.
Proceedings of the International Symposium on Precision Mechanical Measurements. 6(3), 90-100 (2002) [4] Qing Chen, Xiaoli Yang, Jiying Zhao: “Robust image watermarking with Zernike moments,” IEEE. 5(1), 1340-1343 (2005) [5] Guangzhao Cui, Xianghong Cao: “Wavelet Packet Decomposition-Based Fuzzy Clustering Algorithm for Gene Expression Data,” IEEE. 6(2), 1027-1030 (2006) [6] X.

Then, the data of vanillin absorption of all treated cotton fabrics were evaluated by UV spectrophotometry in 200-400 nm range after 3, 7, 11, 15, 18, 22, 25 and 31 days.
UV spectra of cottons treated with 0-20% HP-β-CD and glyoxal (a) and Knittex (b); measured after 3 days As can be seen in Fig. 3, vanillin was slowly released from the treated fabric which is confirmed by the reduction of vanillin absorption over a period of 31 days.
Unfortunately, the use of high curing temperature in glyoxal crosslinking was accompanied by the reduction of tensile strength and whiteness of the treated fabrics.

However, the uniform strain (US) of the He implanted samples is not reduced significantly although the reported reduction in work-hardening.
The increase of Rp0.2% and UTS is attributed to radiation damage produced in the material, which is comparable and consistent with other literature data at the same level of displacement damage but without He.
A reduction of the dislocation cross slip ability can enhance the formation of localized planar deformation bands and preventing the formation of 3D dislocation cell structures.

All the peaks obtained were compared to the standards of the Joint Committee of Powder Diffraction Standard – International Centre for Diffraction Data (JCPDS-ICCD) files for HA (PDF No. 74-566 for Ca10(PO4)6(OH)2 or PDF No. 9-432 for Ca5(PO4)3OH).
The different peaks resolution and broadening of the synthesized powders are due to the substitution of Mg2+ with various concentrations in HA which has led to the reduction of the HA peaks intensity with the increase of Mg2+ concentration.
The decrease of intensity and the broadening of the adsorption bands of HA are attributed to the less of Ca2+ ion due to the replacement of Mg2+ ion substitution into HA structure and has led to the reduction of Ca/P ratio leading to the formation of Ca2+ deficient HA.

Relevant Parameter for Daqing crude oil Paraffin content /% Asphaltene /% Colloid /% condensation point ˚C Temperature of wax precipitation ˚C Density 20˚C kg·m-3 26.40 7 8.5 32 44 867.61 For fear of the experimental data influenced by the shear history memory of oil ,we pre-processing the sample.
So with the increasing of shear rate, apparent viscosity has a significant reduction, and the phase inversion point has a small forward; when the shear rate increased to a certain extent, the moisture content will have no forward any more.
The Reason is that after emulsification, the Active Water and the released water which break away from oil, after that it will together with O/W emulsion realize the main function of viscosity reduction, and the effects of a temperature for this process is small.

In order to avoid the influence of the first layer which has thinner eauivalent shear thickness, the tests of radial cutting depth on cutting force were done twice for each paramenter and chose the second group of cutting force as the experiment data.
It is seen that when the cutting tool of Walter WSM35 was used, there were considerable reductions of cutting forces in all the three directions,especially in the spindle axial derection.
Specificlly, the Fz reduced from 1200N to 800N, with a reduction of 30%.